Results 51 to 60 of about 259,805 (294)
The mechanism underlying backward priming in a lexical decision task: Spreading activation versus semantic matching [PDF]
, 1998 Koriat (1981) demonstrated that an association from the target to a preceding prime, in the absence of an association from the prime to the target, facilitates lexical decision and referred to this effect as "backward priming".
Brown, C., Chwilla, D., Hagoort, P.
core +2 more sources
Matching syntactic-semantic graphs for semantic relation assignment [PDF]
Proceedings of TextGraphs: the First Workshop on Graph Based Methods for Natural Language Processing on the First Workshop on Graph Based Methods for Natural Language Processing - TextGraphs '06, 2006 We present a graph-matching algorithm for semantic relation assignment. The algorithm is part of an interactive text analysis system. The system automatically extracts pairs of syntactic units from a text and assigns a semantic relation to each pair. This is an incremental learning algorithm, in which previously processed pairs and user feedback guide ...
Vivi Nastase, Stan Szpakowicz
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio +8 more
wiley +1 more source
SGCM: Semantic and Geometric Consistency for Robust Aerial Image Matching
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingAerial image matching remains an ongoing challenge due to the significant geometric distortions and nonlinear radiation distortion. Most current approaches primarily focus on low-level image features, while overlooking the potential of high-level ...
Xiangzeng Liu +4 more
doaj +1 more source
Enhancing Semantic Code Search With Deep Graph Matching
IEEE Access, 2023 The job of discovering appropriate code snippets against a natural language query is an important task for software developers. Appropriate code retrieval increases software productivity and quality as well.
Nazia Bibi +5 more
doaj +1 more source
, 2016 Finding image correspondences remains a challenging problem in the presence of intra-class variations and large changes in scene layout.~Semantic flow methods are designed to handle images depicting different instances of the same object or scene ...
Cho, Minsu +3 more
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Service Integration through Structure-Preserving Semantic Matching [PDF]
Journal of Cases on Information Technology, 2009 The problem of integrating services is becoming increasingly pressing. In large, open environments such as the Semantic Web, huge numbers of services are developed by vast numbers of different users. Imposing strict semantics standards in such an environment is useless; fully predicting in advance which services one will interact with is not always ...
F. MCNEILL +3 more
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Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani +10 more
wiley +1 more source
Hybrid Ontology for Semantic Information Retrieval Model Using Keyword Matching Indexing System
The Scientific World Journal, 2015 Ontology is the process of growth and elucidation of concepts of an information domain being common for a group of users. Establishing ontology into information retrieval is a normal method to develop searching effects of relevant information users ...
K. R. Uthayan, G. S. Anandha Mala
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ComQA: Question Answering Over Knowledge Base via Semantic Matching
IEEE Access, 2019 Question answering over knowledge base (KBQA) is a powerful tool to extract answers from graph-like knowledge bases. Here, we present ComQA-a three-phase KBQA framework by which end-users can ask complex questions and get answers in a natural way.
Hai Jin +4 more
doaj +1 more source